AI Solutions
We design, train, test and deploy AI that works with your own data, for businesses in Kenya, East Africa and around the world.

What we build
Retrieval-augmented generation (RAG) lets an AI assistant search your policies, manuals and records, then answer with sources your team can check.
We adapt large language models to your industry terms, products and tone, so they perform your specific tasks reliably.
We test models for accuracy, safety, bias and cost before and after launch, and compare options to pick the best fit.
Agents that take action across your systems: routing tickets, drafting purchase orders and processing documents end to end.
How we work
Understand goals, data and use cases.
Connect your data and build the knowledge base.
Customise models for your domain.
Test, compare and select the best model.
Integrate into your workflows.
Track performance and keep improving.
Retrieval-augmented generation (RAG) is a way for an AI model to look up information in your own documents before answering, so its answers are based on your data and can be checked.
No. Many RAG assistants start with the documents you already have, such as policies, manuals and FAQs.
Yes. We design each solution so your data stays under your control and is only used for your project.
Yes. Our AI agents can work with Zero Ink systems and with other software that offers an API.
Tell us about your data and the problem you want to solve. We'll suggest where AI can help first.